An Introduction to Large Language Models by Joe Dhanith P. R. (.ePUB)+
File Size: 12 MB
An Introduction to Large Language Models by Joe Dhanith P. R., Geetha S., Sheik Abdullah A.
Requirements: .PDF/.ePUB reader, 161/12 mb
Overview: The book offers an introduction to large language models (LLMs) that bridge foundational natural language processing (NLP) concepts with the advanced techniques underlying large language models. It offers a structured exploration of NLP evolution, from rule- based approaches to transformer architectures. Covering key principles such as tokenization, attention mechanisms, and model architectures (BERT, GPT, T5), the book explains pretraining objectives like masked and causal language modeling. It also addresses optimization techniques such as LoRA, pruning, and quantization for efficient LLM deployment. Multimodal models, including GPT- 4 and PaLM- E, are explored alongside retrieval- augmented generation and AI- powered agents.
Genre: Non-Fiction > Tech & Devices
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